{"id":1452,"date":"2016-09-26T15:59:00","date_gmt":"2016-09-26T19:59:00","guid":{"rendered":"https:\/\/www.bumc.bu.edu\/compbiomed\/?page_id=1452"},"modified":"2021-03-22T12:15:40","modified_gmt":"2021-03-22T16:15:40","slug":"yuqing-zhang-2","status":"publish","type":"page","link":"https:\/\/www.bumc.bu.edu\/compbiomed\/yuqing-zhang-2\/","title":{"rendered":"Yuqing Zhang"},"content":{"rendered":"<p><a href=\"\/compbiomed\/files\/2016\/09\/Yuqing-Zhang-e1474915109333.jpg\"><img loading=\"lazy\" width=\"140\" height=\"129\" class=\" wp-image-1453 alignright\" alt=\"Yuqing Zhang\" src=\"\/compbiomed\/files\/2016\/09\/Yuqing-Zhang-e1474915066415-636x588.jpg\" \/><\/a><strong>Ph.D. Candidate, Bioinformatics, BUSM<br \/>\nJohnson Lab<\/strong><\/p>\n<h4>Education<\/h4>\n<p>B.S. Applied Mathematics, Peking University, Beijing, China, 2015<br \/>\nM.S. Bioinformatics, Boston University, Boston MA, 2017<\/p>\n<h4>Contact Information<\/h4>\n<p><strong>Email:\u00a0<\/strong>yuqingz@bu.edu<\/p>\n<h4>Research Interests<\/h4>\n<p><strong>Statistical models for batch effect diagnosis and adjustment.<\/strong> I develop methods to detect batch effect in genomic data, and design novel algorithms to address batch effect for various data types and situations.<\/p>\n<p><strong>Data heterogeneity in statistical learning with genomic data. <\/strong>Heterogeneity in genomic data is caused by complicated biological and technical factors. I generate realistic simulations in attempt to understand how these factors affect the validation of prediction models, and how to reduce the impact of heterogeneity on prediction.<\/p>\n<p><strong>Publications<\/strong><\/p>\n<p><strong>Zhang, Y.<\/strong>, Bernau, C., Parmigiani, G., &amp; Waldron, L. (2018). The impact of different sources of heterogeneity on loss of accuracy from genomic prediction models.\u00a0<em>Biostatistics (Oxford, England)<\/em>.<\/p>\n<p><strong>Zhang, Y.<\/strong>, Jenkins, D. F., Manimaran, S., &amp; Johnson, W. E. (2018). Alternative empirical Bayes models for adjusting for batch effects in genomic studies.\u00a0<em>BMC bioinformatics<\/em>,\u00a0<em>19<\/em>(1), 262.<\/p>\n<p>Griffin, P. J., <strong>Zhang, Y.<\/strong>, Johnson, W. E., &amp; Kolaczyk, E. D. (2018). Detection of multiple perturbations in multi\u2010omics biological networks.\u00a0<em>Biometrics<\/em>,\u00a0<em>74<\/em>(4), 1351-1361.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Ph.D. Candidate, Bioinformatics, BUSM Johnson Lab Education B.S. Applied Mathematics, Peking University, Beijing, China, 2015 M.S. Bioinformatics, Boston University, Boston MA, 2017 Contact Information Email:\u00a0yuqingz@bu.edu Research Interests Statistical models for batch effect diagnosis and adjustment. I develop methods to detect batch effect in genomic data, and design novel algorithms to address batch effect for various [&hellip;]<\/p>\n","protected":false},"author":11679,"featured_media":0,"parent":0,"menu_order":39,"comment_status":"closed","ping_status":"closed","template":"","meta":[],"_links":{"self":[{"href":"https:\/\/www.bumc.bu.edu\/compbiomed\/wp-json\/wp\/v2\/pages\/1452"}],"collection":[{"href":"https:\/\/www.bumc.bu.edu\/compbiomed\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.bumc.bu.edu\/compbiomed\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.bumc.bu.edu\/compbiomed\/wp-json\/wp\/v2\/users\/11679"}],"replies":[{"embeddable":true,"href":"https:\/\/www.bumc.bu.edu\/compbiomed\/wp-json\/wp\/v2\/comments?post=1452"}],"version-history":[{"count":6,"href":"https:\/\/www.bumc.bu.edu\/compbiomed\/wp-json\/wp\/v2\/pages\/1452\/revisions"}],"predecessor-version":[{"id":2501,"href":"https:\/\/www.bumc.bu.edu\/compbiomed\/wp-json\/wp\/v2\/pages\/1452\/revisions\/2501"}],"wp:attachment":[{"href":"https:\/\/www.bumc.bu.edu\/compbiomed\/wp-json\/wp\/v2\/media?parent=1452"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}